Geospatial Data Analyst (f/m/x) in the field of AI & Satellite Data

Baue mit LiveEO den Marktführer in der Satellitenanalyse aufLiveEO uses satellite data and AI to monitor critical infrastructure at scale. As a Geospatial Data Analyst (f/m/x), you’ll sit at the heart of our operations, working with geospatial and satellite data to make sure our analytics projects are delivered reliably, accurately, and on time.You’ll work closely with Project Managers, our Operations Support Studio, engineers, and product teams - investigating data, understanding our analytics pipelines, solving delivery issues, and helping us continuously improve how our technology performs in real-world use cases across energy and transportation infrastructure.This role is a maternity leave cover and is offered on a fixed-term contract for 1 year.Deine AufgabenAnalyze, validate, and interpret geospatial and satellite data across global customer projectsTake ownership of analytics deliveries and help ensure high technical quality and reliabilityUnderstand and adapt to different analytics use cases across energy and transportation infrastructureInvestigate data and pipeline issues, identify root causes, and communicate findings clearly to engineering teamsWork closely with engineers, Project Managers, and the Operations Support Studio to resolve issues and keep deliveries movingDevelop a strong end-to-end understanding of our analytics pipelines and identify opportunities to improve efficiency and qualityProvide structured feedback to Product and Engineering teams when you identify recurring issues or opportunities for improvementUse AI coding and analysis tools such as Claude or Cursor for data validation, pipeline debugging, and analysis - while critically validating their output before acting on itWork with tools and technologies including QGIS, Python, SQL, AWS, remote sensing tools, and large-scale geospatial datasetsDein ProfilA degree in geoinformatics, remote sensing, geography, computer science, data science, statistics, mathematics, or another quantitativ